Knowledge Agora



Similar Articles

Title Investigating spatiotemporal dynamics and trade-off/synergy of multiple ecosystem services in response to land cover change: a case study of Nanjing city, China
ID_Doc 67701
Authors Zhao, J; Li, C
Title Investigating spatiotemporal dynamics and trade-off/synergy of multiple ecosystem services in response to land cover change: a case study of Nanjing city, China
Year 2020
Published Environmental Monitoring And Assessment, 192, 11
Abstract Investigating the spatiotemporal trends and trade-off/synergy relationships among ecosystem services can provide effective support for urban planning and decision making toward sustainable development. With Nanjing city in China as a case study, this study assessed the spatiotemporal dynamics of six key ecosystem services from 2005 to 2030. Integration of Markov-cellular automata and ecosystem services models was realized to analyze the potential impacts of future urbanization on ecosystem services by simulating business-as-usual (BAU), cropland protection (CP), and ecological restoration (ER) scenarios. Furthermore, an innovative trade-off/synergy degree was developed to quantify the magnitude of the complex relationship among the multiple ecosystem services under the different scenarios. Due to the rapid expansion of built-up land, carbon storage, habitat quality, and air purification decreased 2.92%, 5.80%, and 7.91%, respectively. The CP scenario exhibited the highest crop production values, and the ER scenario was a better urban development strategy that enhanced the regulating ecosystem services at the expense of crop production. To promote urban ecosystem services and minimize trade-offs, we proposed certain future urban development strategies, including ecological corridor construction and compact development. The study could provide a scientific reference for the effective ecosystem management of Nanjing and other rapidly urbanized regions.
PDF https://link.springer.com/content/pdf/10.1007/s10661-020-08663-x.pdf

Similar Articles

ID Score Article
68944 Li, ZZ; Cheng, XQ; Han, HR Analyzing Land-Use Change Scenarios for Ecosystem Services and their Trade-Offs in the Ecological Conservation Area in Beijing, China(2020)International Journal Of Environmental Research And Public Health, 17, 22
69616 Zhang, D; Huang, QX; He, CY; Yin, D; Liu, ZW Planning urban landscape to maintain key ecosystem services in a rapidly urbanizing area: A scenario analysis in the Beijing-Tianjin-Hebei urban agglomeration, China(2019)
76078 Liu, JY; Fang, Y; Yan, QQ; Chen, CX Modern zoning plans versus traditional landscape structures: Ecosystem service dynamics and interactions in rapidly urbanizing cultural landscapes(2023)
69744 Wu, Y; Tao, Y; Yang, GS; Ou, WX; Pueppke, S; Sun, X; Chen, GT; Tao, Q Impact of land use change on multiple ecosystem services in the rapidly urbanizing Kunshan City of China: Past trajectories and future projections(2019)
67880 Wu, WB; Luo, XY; Knopp, J; Jones, L; Banzhaf, E A European-Chinese Exploration: Part 2-Urban Ecosystem Service Patterns, Processes, and Contributions to Environmental Equity under Different Scenarios(2022)Remote Sensing, 14, 14
69609 Sun, YJ; Li, J; Ren, ZY; Yang, FP Ecosystem Service Trade-Offs and Spatial Pattern Optimisation under Different Land Use Scenarios: A Case Study in Guanzhong Region, China(2023)Land, 12.0, 1
76497 Li, T; Jia, BQ; Zhang, QM; Liu, WR; Fang, YX Scenario Simulation of Urban Land Use and Ecosystem Service Coupling Major Function-Oriented Zoning(2024)
67586 Yang, YY; Lu, ZW; Yang, MY; Yan, YX; Wei, YY Impact of land use changes on uncertainty in ecosystem services under different future scenarios: A case study of Zhang-Cheng area, China(2024)
69077 Wang, Y; Li, XM; Zhang, Q; Li, JF; Zhou, XW Projections of future land use changes: Multiple scenarios -based impacts analysis on ecosystem services for Wuhan city, China(2018)
68550 Zhang, Y; Yu, PH; Tian, YS; Chen, HT; Chen, YY Exploring the impact of integrated spatial function zones on land use dynamics and ecosystem services tradeoffs based on a future land use simulation (FLUS) model(2023)
Scroll